Gain insights into using Python Pandas for efficient data analysis and manipulation. Delve into detailed functions, parameters, and methods to elevate your data handling skills.

A Comprehensive Practical Guide to Python Pandas_ .png

There are several exercises that focus on how to use a particular function and method. The functions are covered in detail by explaining the important parameters and how to use them. By completing this course, you will be able to do data analysis and manipulation with Pandas easily and efficiently.

Mastering Data Analysis with Python Pandas

# Dates include lots of information

A `Timestamp` object contains multiple pieces of information, such as year, month, week, day of the week, hour, minute, and so on. We have many options to express an instance in time. In some cases, it’s enough to only specify the date. Some tasks require precision in minutes or seconds.

Regardless of the precision of a `Timestamp` object, it contains lots of information, and some tasks require us to extract a specific piece of information. For instance, if we’re interested in the monthly sales of a product, we take the month from the date of all transactions. Let’s create a `Timestamp` object and then extract different types of information using its attributes.

Learn how to extract a piece of information from a date with Pandas.

Course Introduction

Pandas Data Structures

Creating a Data Frame

Exploring a Data Frame

Filtering a Data Frame

String Manipulation with Pandas

Date Manipulation with Pandas

Handling Missing Values with Pandas

Data Analysis with Pandas

Data Visualization with Pandas

Combining DataFrames with Pandas

Final Challenge and Quiz

Extracting Information from Dates

Dates include lots of information